{"id":"W1987373038","doi":"10.1108/10662240210422512","title":"Supporting the e‐business readiness of small and medium‐sized enterprises: approaches and metrics","year":2002,"lang":"en","type":"article","venue":"Internet Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":276,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Saint Mary's University","funders":"","keywords":"Business; Government (linguistics); Balance (ability); Small and medium-sized enterprises; Conceptual framework; Marketing; Knowledge management; Process management; Industrial organization; Computer science; Finance; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006711191,0.000105416,0.0002525178,0.0008258939,0.0001062928,0.0002290583,0.001009852,0.0001358879,0.0004604541],"category_scores_gemma":[0.007801487,0.0000606153,0.00003726171,0.001813795,0.0009121103,0.0001390103,0.0007995512,0.0004464123,0.00003642947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000017338,"about_ca_system_score_gemma":0.00002808437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002006838,"about_ca_topic_score_gemma":0.0001078603,"domain_scores_codex":[0.9972881,0.000378943,0.0005307604,0.0004232849,0.001039375,0.0003395383],"domain_scores_gemma":[0.996466,0.002163209,0.0001649767,0.0005188634,0.000597088,0.00008988816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000677487,0.0001646502,0.8696718,0.00002720559,0.00002885885,0.00003246701,0.003583443,0.000001407108,0.0005437306,0.001599671,0.01055392,0.1137251],"study_design_scores_gemma":[0.001300631,0.0002223366,0.9464008,0.00009171227,0.00002683268,0.0001808347,0.01084168,0.01199748,0.004303502,0.008128639,0.01623009,0.0002754789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915448,0.0007376122,0.001265572,0.004698956,0.00008612966,0.0002210774,0.000005459034,0.0000300725,0.001410353],"genre_scores_gemma":[0.9932413,0.000148006,0.0004365858,0.00003431034,0.00002248635,0.00002013537,8.612428e-7,0.000008962319,0.006087417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1134496,"threshold_uncertainty_score":0.9339672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4542724286468235,"score_gpt":0.4623924232461232,"score_spread":0.008119994599299685,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}